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This data series contains 540 temporal datasets. Wildfire adheres to meteorological enablers and drivers across a spectrum of timescales. However, a majority of downscaling methods are ill suited for wildfire application due the lack of daily timescales and variables such as humidity and winds that are important for fuel flammability and fire spread. Two statistical downscaling methods, the daily Bias-Corrected Spatial Downscaling (BCSD) and the Multivariate Adapted Constructed Analogs (MACA), that directly incorporate daily data were validated over the Western United States with reanalysis data. While both methods outperformed the null interpolation only method, MACA exhibited additional skill in temperature, humidity,...
Tags: CA,
California,
Climatology/Meteorology/Atmosphere,
Downscaled Climate Scenarios,
EPSCoR Data, All tags...
Multivariate Adaptive Constructed Analog (MACA) Method,
NPLCC,
NetCDF,
North Pacific Landscape Conservation Cooperative,
OR,
Oregon,
WA,
Washington, Fewer tags
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This archive contains daily surface meteorological (METDATA) data for the Continental United States at 4-km (1/24-deg) resolution. The meteorological variables are maximum/minimum temperature, precipitation amount and duration, maximum/minimum relative humidity,downward shortwave solar radiation, wind speed and direction, and specific humidity. The method utilized here combines desirable spatial attributes of gridded climate data from PRISM and desirable temporal attributes of regional-scale reanalysis and daily gauge-based precipitation from NLDAS-2 to derive a spatially and temporally complete high resolution gridded dataset of surface meteorological variables for the continental US for 1979-2012. Validation of...
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This data series contains 330 datasets. Landscape-scale ecological modeling has been hindered by suitable high-resolution surface meteorological datasets that include temperature, precipitation, downward shortwave radiation, humidity and winds. To overcome these limitations, desirable spatial attributes of gridded climate data from PRISM are combined with desirable temporal attributes of regional-scale reanalysis and daily gauge-based precipitation from NLDAS-2 to derive a spatially and temporally complete, high-resolution (4-km) gridded dataset of surface meteorological variables required in ecological modeling for the contiguous United States from 1979-2010. Validation of the resulting gridded surface meteorological...
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This archive contains daily surface meteorological (METDATA) data for the Continental United States at 4-km (1/24-deg) resolution. The meteorological variables are maximum/minimum temperature, precipitation amount and duration, maximum/minimum relative humidity,downward shortwave solar radiation, wind speed and direction, and specific humidity. The method utilized here combines desirable spatial attributes of gridded climate data from PRISM and desirable temporal attributes of regional-scale reanalysis and daily gauge-based precipitation from NLDAS-2 to derive a spatially and temporally complete high resolution gridded dataset of surface meteorological variables for the continental US for 1979-2012. Validation of...
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